| Wolfy vs Jin | 36–31 | 53.73% |
| Wolfy vs Kazuya | 22–33 | 40.00% |
| Wolfy vs King | 26–28 | 48.15% |
| Wolfy vs Law | 21–25 | 45.65% |
| Wolfy vs Dragunov | 20–17 | 54.05% |
| Wolfy vs Bryan | 14–21 | 40.00% |
| Wolfy vs Paul | 10–23 | 30.30% |
| Wolfy vs Heihachi | 12–20 | 37.50% |
| Wolfy vs Devil Jin | 13–13 | 50.00% |
| Wolfy vs Clive | 6–19 | 24.00% |
| Wolfy vs Fahkumram | 13–12 | 52.00% |
| Wolfy vs Hwoarang | 9–14 | 39.13% |
| Wolfy vs Reina | 8–15 | 34.78% |
| Wolfy vs Steve | 9–13 | 40.91% |
| Wolfy vs Leroy | 12–9 | 57.14% |
| Wolfy vs Yoshimitsu | 12–6 | 66.67% |
| Wolfy vs Lars | 10–5 | 66.67% |
| Wolfy vs Azucena | 11–4 | 73.33% |
| Wolfy vs Asuka | 5–7 | 41.67% |
| Wolfy vs Xiaoyu | 6–5 | 54.55% |
| Wolfy vs Feng | 3–8 | 27.27% |
| Wolfy vs Lili | 4–7 | 36.36% |
| Wolfy vs Claudio | 5–6 | 45.45% |
| Wolfy vs Jun | 7–4 | 63.64% |
| Wolfy vs Victor | 7–3 | 70.00% |
| Wolfy vs Alisa | 3–6 | 33.33% |
| Wolfy vs Anna | 5–4 | 55.56% |
| Wolfy vs Zafina | 4–4 | 50.00% |
| Wolfy vs Armor King | 3–4 | 42.86% |
| Wolfy vs Shaheen | 5–1 | 83.33% |
| Wolfy vs Eddy | 5–1 | 83.33% |
| Wolfy vs Jack-8 | 4–0 | 100.00% |
| Wolfy vs Leo | 0–4 | 0.00% |
| Wolfy vs Nina | 0–4 | 0.00% |
| Wolfy vs Lee | 2–2 | 50.00% |
| Wolfy vs Kuma | 1–1 | 50.00% |
| Wolfy vs Lidia | 1–1 | 50.00% |
| Wolfy vs Panda | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.